Multimodal AI-based 28-day mortality prediction of pneumonia patients at ED discharge: a multicenter study

Sunjin Hwang, Sejin Heo, Sungjun Hong, Kyu-Hwan Jung, Won Chul Cha, Junsang Yoo

Open source

DOI
10.1038/s41598-026-42378-2
Published
2026-03-02
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1038/s41598-026-42378-2,
  title = {Multimodal AI-based 28-day mortality prediction of pneumonia patients at ED discharge: a multicenter study},
  author = {Sunjin Hwang and Sejin Heo and Sungjun Hong and Kyu-Hwan Jung and Won Chul Cha and Junsang Yoo},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-42378-2},
  url = {https://doi.org/10.1038/s41598-026-42378-2}
}

RIS

TY  - JOUR
TI  - Multimodal AI-based 28-day mortality prediction of pneumonia patients at ED discharge: a multicenter study
AU  - Sunjin Hwang
AU  - Sejin Heo
AU  - Sungjun Hong
AU  - Kyu-Hwan Jung
AU  - Won Chul Cha
AU  - Junsang Yoo
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-42378-2
UR  - https://doi.org/10.1038/s41598-026-42378-2
ER  - 

APA

Hwang, S., Heo, S., Hong, S., Jung, K., Cha, W. C., & Yoo, J. (2026). Multimodal AI-based 28-day mortality prediction of pneumonia patients at ED discharge: a multicenter study. Scientific Reports. https://doi.org/10.1038/s41598-026-42378-2

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